Alcohol Use and Multimorbidity Among Individuals Living with HIV

Crawford, Timothy N.; Thornton, Alice

doi:10.1007/s10461-018-2242-y

Cited by 9 publications

(6 citation statements)

References 25 publications

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“…This might happen because chronic diseases are more common among older people who are less likely to use substances, and because these individuals stop using substances when they realize they are sick. People in the US living with HIV and current use of alcohol had higher risk of multimorbidity compared to non-drinkers (Crawford and Thornton, 2019). There are not enough studies about the association of substance use and MM.…”

Section: Discussionmentioning

confidence: 99%

“…The model was adjusted for age, drug use, smoking status, insurance status, HIV duration, cd4 + cell counts, and log viral load. The unadjusted model showed that drug use was also associated with multimorbidity (IRR: 1.22 [95% CI: 1.01 to 1.47], p < 0.05) (Crawford and Thornton, 2019).…”

Section: Substance Use Disordersmentioning

confidence: 99%

“…Four studies (MacLean et al, 2018;Crawford and Thornton, 2019;Han et al, 2019;Petersen et al, 2019) addressed the association between substance use disorders and multimorbidity. One study included alcohol use disorder (AUD), one was on alcohol and tobacco use disorder (TUD), one on AUD and drug use disorder, and one on drug use disorder (e.g., cannabis, cocaine, methamphetamine, heroin, inhalants, hallucinogens, and prescription drug misuse).…”

Section: Substance Use Disordersmentioning

confidence: 99%

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Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Castro-de-Araujo

Cortés²,

Filha

et al. 2022

Front. Psychol.

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Objective: The presence of two or more chronic diseases results in worse clinical outcomes than expected by a simple combination of diseases. This synergistic e ect is expected to be higher when combined with some conditions, depending on the number and severity of diseases. Multimorbidity is a relatively new term, with the first fundamental definitions appearing in . Studies usually define it as the presence of at least two chronic medical illnesses. However, little is known regarding the relationship between mental disorders and other non-psychiatric chronic diseases. This review aims at investigating the association between some mental disorders and non-psychiatric diseases, and their pattern of association.Methods: We performed a systematic approach to selecting papers that studied relationships between chronic conditions that included one mental disorder from to . These were processed using Covidence, including quality assessment.Results: This resulted in the inclusion of papers in this study. It was found that there are strong associations between depression, psychosis, and multimorbidity, but recent studies that evaluated patterns of association of diseases (usually using clustering methods) had heterogeneous results. Quality assessment of the papers generally revealed low quality among the included studies.Conclusions: There is evidence of an association between depressive disorders, anxiety disorders, and psychosis with multimorbidity. Studies that tried to examine the patterns of association between diseases did not find stable results.Systematic review registration: https://www.crd.york.ac.uk/prospero/display _record.php?ID=CRD , identifier: CRD .

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Section: Discussionmentioning

confidence: 99%

Section: Substance Use Disordersmentioning

confidence: 99%

Section: Substance Use Disordersmentioning

confidence: 99%

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Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Castro-de-Araujo

Cortés²,

Filha

et al. 2022

Front. Psychol.

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“…Meanwhile, the rate of multimorbidity (at least two chronic conditions) is steadily increasing among PLWH (e.g. increased from 8.2% in 2000, 22.4% in 2009 to 54.1% in 2014 in the US [9,12] and will be as high as 89% in 2035 according to a projection modelling study [13]). Consequently, non-AIDS related comorbidities played an important contribution to the cause of death or mortality [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach

Yang¹,

Zhang²,

Chen³

et al. 2021

Aids

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Objectives: An understanding of the predictors of comorbidity among people living with HIV (PLWH) is critical for effective HIV care management. In this study, we identified predictors of comorbidity burden among PLWH based on machine learning models with electronic health record (EHR) data. Methods:The study population are individuals with a HIV diagnosis between January 2005 and December 2016 in South Carolina (SC). The change of comorbidity burden, represented by the Charlson Comorbidity Index (CCI) score, was measured by the score difference between pre-and post-HIV diagnosis, and dichotomized into a binary outcome variable. Thirty-five risk predictors from multiple domains were used to predict the increase in comorbidity burden based on the logistic least absolute shrinkage and selection operator (Lasso) regression analysis using 80% data for model development and 20% data for validation.Results: Of 8253 PLWH, the mean value of the CCI score difference was 0.8 AE 1.9 (range from 0 to 21) with 2328 (28.2%) patients showing an increase in CCI score after HIV diagnosis. Top predictors for an increase in CCI score using the LASSO model included older age at HIV diagnosis, positive family history of chronic conditions, tobacco use, longer duration with retention in care, having PEBA insurance, having low recent CD4 þ cell count and duration of viral suppression. Conclusion:The application of machine learning methods to EHR data could identify important predictors of increased comorbidity burden among PLWH with high accuracy. Results may enhance the understanding of comorbidities and provide the evidence based data for integrated HIV and comorbidity care management of PLWH.

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“…O Centro de Pesquisa Americano sobre o Álcool em HIV recomenda que as PVHIV minimizem ou abstenham-se totalmente de consumir bebidas alcoólicas, uma vez que seu consumo impede o controle da infecção, devido a redução da contagens de linfócitos TCD4+, dificuldades de adesão à medicação e, consequentemente, de supressão da carga viral (4,5) . Além disso, o consumo de álcool pode aumentar o risco dos indivíduos se tornarem resistentes à Terapia Antirretroviral (TARV) (6) .…”

Section: Introductionunclassified

Consumo de álcool em pessoas vivendo com HIV e suas implicações para os desfechos clínicos

Mesquita

Melo

Costa

et al. 2020

Rev. Eletr. Enferm.

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Objetivou-se analisar a prevalência do consumo de álcool em pessoas vivendo com HIV e sua associação com os desfechos clínicos. Trata-se de um estudo transversal, analítico, realizado com pessoas que vivem com HIV em tratamento ambulatorial no município de Ribeirão Preto, SP. Realizou-se entrevista com instrumento sociodemográfico e clínico e com o Cuestionario para La Evaluación de La Adhesión al Tratamiento Antirretroviral. Para análise dos dados utilizou-se os Testes Qui-quadrado, Exato de Fisher e regressão logística, adotando p<0,05. Dos 340 participantes, a prevalência do consumo de álcool foi 40,6%, dos quais 35% apresentavam consumo leve e moderado e 5,6% alto. Identificou-se que pessoas com carga viral detectável tem 1,76 vezes mais chance (p=0,04; IC95% 1,00–3,05) de consumir álcool. O estudo evidenciou uma alta prevalência de consumo de álcool entre pessoas que vivem com HIV e o desfecho clínico que apresentou associação com o alto consumo de álcool foi a carga viral.

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Alcohol Use and Multimorbidity Among Individuals Living with HIV

Cited by 9 publications

References 25 publications

Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Patterns of multimorbidity and some psychiatric disorders: A systematic review of the literature

Utilizing electronic health record data to understand comorbidity burden among people living with HIV: a machine learning approach

Consumo de álcool em pessoas vivendo com HIV e suas implicações para os desfechos clínicos

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